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Found 5 papers, 3 papers with code
A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection
Globally, cardiovascular diseases (CVDs) are the leading cause of mortality, accounting for an estimated 17. 9 million deaths annually.
Adversarial Examples in the Physical World: A Survey
However, current research on physical adversarial examples (PAEs) lacks a comprehensive understanding of their unique characteristics, leading to limited significance and understanding.
Automatic Truss Design with Reinforcement Learning
Directly applying end-to-end reinforcement learning (RL) methods to truss layout design is infeasible either, since only a tiny portion of the entire layout space is valid under the physical constraints, leading to particularly sparse rewards for RL training.
Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes
The controller is trained using reinforcement learning in simulation and evaluated in the real world on new object shapes not used for training, including the most challenging scenario of reorienting objects held in the air by a downward-facing hand that must counteract gravity during reorientation.
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning tasks put a high demand on the volume of training samples.
